Instructions to use certainstar/Trained-English-classification-uncase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use certainstar/Trained-English-classification-uncase with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="certainstar/Trained-English-classification-uncase")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("certainstar/Trained-English-classification-uncase") model = AutoModelForSequenceClassification.from_pretrained("certainstar/Trained-English-classification-uncase") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74745644d070f8e79325d265612bbfee929b2cc7c9ec63243b8adc6a0eb2a6d4
- Size of remote file:
- 5.05 kB
- SHA256:
- 5d9a01b680dae08b7a91145c3835f1a9d39e50c08e1dbac0727bfc9f33e8a79e
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